应用Python进行数据科学与分析
发布日期:2024年4月
创建者:Jeff James
课程信息:
- 格式:MP4
- 分辨率:1280×720
- 音频:AAC,44.1 KHz,双声道
- 类型:电子学习
- 语言:英语
- 时长:30课时(6小时15分钟)
- 大小:3.73 GB
课程内容:
本课程旨在帮助学习者将Python技能应用于真实世界的数据科学和分析挑战。学习内容包括:
- 超越基础Python教程,解决复杂而实际的问题
- 精通Python和Pandas,同时能够熟练使用人工智能帮助解决问题
- 解析自然语言、结构化数据,并分析您在业务或研究中可能遇到的任何类型的数据
- 培养解决问题的信心和思考问题的能力
- 在逐步复杂的问题解决中使用人工智能作为副驾驶
要求:
- 理解Python的基础知识
- 使用Colab笔记本需要Google账号
- 对数据科学家和分析师每天必须解决的问题有一定的了解和欣赏
课程描述:
本课程由Jeff James主讲,他是一位具有15年应用数据分析和编码经验的高级机器学习工程经理,曾在丹佛大学任教。Jeff将带领您深入了解Python标准库、Pandas、SciPY以及强大的机器学习库(如scikit-learn),使您能够充满信心地解决开放性问题。在整个课程中,您将深入了解真实场景,学习如何处理和解决超越典型“目录”式视频课程的挑战。您将获得与各种数据集合作的实践经验,应用高级分析技术,并充分利用Python的数据科学生态系统的潜力。无论您是数据分析师、有抱负的数据科学家还是希望扩展技能的开发人员,本课程都将为您提供所需的工具和知识,助您在这一领域脱颖而出。您将学到如何:
- 有效地利用Python标准库进行数据处理和分析
- 利用Pandas进行高效的数据整理和探索
- 使用SciPY应用统计技术,从数据中获得更深入的见解
- 使用scikit-learn实现机器学习算法,解决实际问题
- 培养解决数据科学和分析中开放性挑战的问题解决思维方式 通过本课程,您将拥有一系列展示您将Python应用于真实数据科学和分析问题的项目。您将准备好应对复杂挑战,推动数据驱动决策,并在您的组织中产生实际影响。不要错过这次与经验丰富的行业专业人士学习,将您的Python技能提升到新的高度的机会。立即报名参加“应用Python进行数据科学与分析”课程,释放您在数据科学和分析领域的全部潜力!
Applied Python for Data Science and Analytics
Published 4/2024
Created by Jeff James
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 30 Lectures ( 6h 15m ) | Size: 3.73 GB
Ditch the Fluff, Embrace the Challenge: Master Python for Real-World Data Science and Analytics
What you’ll learn:
Moving beyond basic Python tutorials into solving complex and practical problems
Mastering both Python and Pandas, while being fluent enough to let AI help you solve problems
Parsing natural language, structured data and analyze any kind of data you may encounter in business or research
Develop confidence in problem solving and your ability to think through a problem
Using AI as a Copilot as we get into progressively complex problem solving
Requirements:
Understanding the basics of Python
A Google account to use Colab Notebooks
Have some appreciation for problems data scientists and analyst must solve on a daily basis.
Description:
Unlock the Power of Python for Real-World Data Science and AnalyticsAre you ready to take your Python skills to the next level and tackle real-world data science and analytics challenges? Look no further than “Applied Python for Data Science and Analytics,” a comprehensive Udemy course designed to bridge the gap between memorization and practical problem-solving.In this course, you’ll learn from Jeff James, a senior machine learning engineering manager with 15 years of applied data analytics and coding experience, who has also taught at the University of Denver. Andrew will guide you through the complexities of the Python standard library, Pandas, SciPY, and powerful machine learning libraries like scikit-learn, empowering you to solve open-ended problems with confidence.Throughout the course, you’ll dive deep into real-world scenarios, learning how to approach and solve challenges that go beyond the typical “table of contents” style video courses. You’ll gain hands-on experience working with diverse datasets, applying advanced analytical techniques, and leveraging the full potential of Python’s data science ecosystem.Whether you’re a data analyst, aspiring data scientist, or a developer looking to expand your skill set, this course will equip you with the tools and knowledge you need to excel in the field. You’ll learn how to:- Effectively utilize the Python standard library for data manipulation and analysis- Harness the power of pandas for efficient data wrangling and exploration- Apply statistical techniques using SciPY to gain deeper insights from your data- Implement machine learning algorithms using scikit-learn to solve real-world problems- Develop a problem-solving mindset to tackle open-ended challenges in data science and analyticsBy the end of this course, you’ll have a robust portfolio of projects showcasing your ability to apply Python to real-world data science and analytics problems. You’ll be ready to take on complex challenges, drive data-driven decision-making, and make a tangible impact in your organization.Don’t miss this opportunity to learn from an experienced industry professional and elevate your Python skills to new heights. Enroll now in “Applied Python for Data Science and Analytics” and unlock your full potential in the world of data science and analytics!
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